Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks.
Iván García AguilarLipika DekaRafael Marcos Luque BaenaEnrique DomínguezEzequiel López-RubioPublished in: IWANN (1) (2023)
Keyphrases
- super resolution
- aerial images
- object detection
- low resolution
- high resolution
- convolutional neural networks
- low resolution images
- resolution enhancement
- multi frame
- image super resolution
- high resolution images
- high quality
- motion estimation
- super resolution reconstruction
- motion blur
- line segments
- single image
- super resolved
- depth map
- input image
- image patches
- object categories
- face detection
- background subtraction
- coarse to fine
- image regions
- multiresolution
- computational complexity